为了使电力机车牵引电传动系统参数匹配最佳，对电力机车牵引电传动系统关键参数自动优化方法进行了研究。首先，建立了某型号电力机车牵引电传动系统的仿真模型，仿真结果证明了建模的准确性及合理性。其次，针对原模型开展试验设计(DOE)仿真，获得一簇反映系统运行规律的仿真结果，基于仿真结果建立了映射系统输入参数与输出特性的近似模型。再次，基于近似模型采用多目标粒子群优化算法进行寻优,获得了优化的设计参数。最后，对比分析几种模型仿真优化的结果，验证了采用近似模型进行全局寻优方法的效果，且在保证仿真精度的前提下，达到了极高的仿真效率。研究结果对于电力机车牵引电传动系统的高效率仿真具有参考意义。

For the purpose of optimizing the parameters of electric locomotive traction electric drive system for more reasonable matching relationship, an automatic optimization method for the key parameters of electric locomotive traction electric drive system is studied. Firstly, the traction electric drive system simulation model of a certain electric locomotive is established, and the simulation results prove the accuracy and rationality of the modeling method. Secondly, simulation based on design of experiment (DOE) of the model is carried out, and a cluster of simulation results reflecting the system operation law is obtained. Based on the simulation results, an approximate model mapping the input parameters and output characteristics of the system is established. Thirdly, the optimized design parameters are obtained by the multi-objective particle swarm optimization algorithm. Finally, the results of simulation optimization of several models are compared and analyzed, which verifies the effect of the global optimization method based on the approximate model, and high simulation efficiency is achieved as well as high simulation accuracy. The research has certain reference value for the high-efficiency simulation of electric locomotive traction electric drive system.

U264.6

湖南省重点研发计划项目（2022WK2013）；科技部创新方法工作专项项目（2019IM050100）